Artificial intelligence aided next-generation networks relying on UAVs
In this article, we propose artificial intelligence (AI) enabled unmanned aerial vehicle (UAV)
aided wireless networks (UAWN) for overcoming the challenges imposed by the random …
aided wireless networks (UAWN) for overcoming the challenges imposed by the random …
[HTML][HTML] Deep reinforcement learning based resource management in UAV-assisted IoT networks
YY Munaye, RT Juang, HP Lin, GB Tarekegn, DB Lin - Applied Sciences, 2021 - mdpi.com
The resource management in wireless networks with massive Internet of Things (IoT) users
is one of the most crucial issues for the advancement of fifth-generation networks. The main …
is one of the most crucial issues for the advancement of fifth-generation networks. The main …
Autonomous on-demand deployment for UAV assisted wireless networks
Unmanned aerial vehicle (UAV) assisted wireless network has been recognized as an
effective technology to facilitate the formation of a super flexible low-altitude platform for …
effective technology to facilitate the formation of a super flexible low-altitude platform for …
Re-envisioning space-air-ground integrated networks: Reinforcement learning for link optimization
To provide ubiquitous connectivity and achieve high reliability in the under-served and
under-connected areas, the integration of aerial and space communication infrastructures …
under-connected areas, the integration of aerial and space communication infrastructures …
Optimal UAV base station trajectories using flow-level models for reinforcement learning
Cellular base stations (BS) and remote radio heads can be mounted on unmanned aerial
vehicles (UAV) for flexible, traffic-aware deployment. These UAV base station networks …
vehicles (UAV) for flexible, traffic-aware deployment. These UAV base station networks …
Joint trajectory and resource optimization of MEC-assisted UAVs in sub-THz networks: A resources-based multi-agent proximal policy optimization DRL with attention …
The use of Terahertz (THz) technology in sixth-generation (6G) networks will bring high-
speed and capacity data services. But limitations like molecular absorption, rain attenuation …
speed and capacity data services. But limitations like molecular absorption, rain attenuation …
Joint trajectory design and BS association for cellular-connected UAV: An imitation-augmented deep reinforcement learning approach
YJ Chen, DY Huang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
This article concerns the problem of the trajectory design and base station (BS) association
for cellular-connected unmanned aerial vehicles (UAVs). To support safety-critical functions …
for cellular-connected unmanned aerial vehicles (UAVs). To support safety-critical functions …
Resource allocation in UAV-assisted networks: A clustering-aided reinforcement learning approach
S Zhou, Y Cheng, X Lei, Q Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As an aerial base station, unmanned aerial vehicle (UAV) has been considered as a
promising technology to assist future wireless communications due to its flexible, swift and …
promising technology to assist future wireless communications due to its flexible, swift and …
Distillation and ordinary federated learning actor-critic algorithms in heterogeneous UAV-aided networks
M Nasr-Azadani, J Abouei, KN Plataniotis - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, there has been growing enthusiasm for employing Unmanned Aerial
Vehicles (UAVs) as an innovative technology with significant potential for the next …
Vehicles (UAVs) as an innovative technology with significant potential for the next …
Deployment optimization of UAV-aided networks through a dynamic tunable model
J Liu, H Zhang, Y He - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
In the existing work of unmanned aerial vehicle base station (UAV-BS) deployment, where
serving radius (SR) is fixed regardless of resource waste and overlapping interference …
serving radius (SR) is fixed regardless of resource waste and overlapping interference …